Creating a custom model in Tensor Art involves a streamlined process from designing a detailed prompt to publishing a fully trained model. This concise guide outlines the key steps to create and refine your model efficiently.
1. Crafting the Prompt
Start with a precise, descriptive prompt to define the desired output. Example:
A hyperrealistic Christmas tree designed for the Flux checkpoint. This vibrant evergreen glimmers with frosted needles, adorned with glowing glass baubles in gold, emerald, and crimson. Hand-carved figurines, radiant crystal icicles, and flowing golden ribbons add texture. Warm white fairy lights cascade through the branches, and the gem-encrusted star topper emits a radiant aura. A velvet-like tree skirt surrounds ornate gift boxes at the base, with swirling mist enhancing depth against frosted windows reflecting faint twinkling lights.
A detailed prompt ensures accurate and high-quality outputs.
2. Selecting Parameters
Optimize settings for the best results:
Checkpoint: Flux
Sampling Method: Euler Ancestral (Euler a)
CFG Scale: 8
Steps: 50
Resolution: 1024x1024
Denoising Strength: 0.55
VAE: vae-ft-mse-840000
Seed: Random
3. Generating Base Images
Generate multiple outputs using the prompt.
Review and refine until achieving desired results.
Save high-quality images for training.
4. Preparing for Model Training
a. Dataset Creation
Select 10-15 high-quality, thematic images.
Standardize image resolution to 512x512.
Annotate images with relevant metadata.
b. Preprocessing
Normalize brightness and contrast.
Augment images with flips and rotations for diversity.
5. Training the Model
a. Training Configuration
Choose between fine-tuning or full-model training based on complexity.
Recommended settings:
Epochs: 8-10
Batch Size: 2-4
Learning Rate: 0.0001
b. Training Steps
Upload the preprocessed dataset to Tensor Art.
Configure training settings.
Start training and monitor logs.
Review sample outputs for quality.
6. Refining and Validating
Generate test images with the trained model.
Assess results and adjust weights as needed.
7. Publishing the Model
a. Final Adjustments
Assign a descriptive name (e.g., "Hyperrealistic Christmas Tree Model").
Include key details: prompt, parameters, and example outputs.
b. Sharing the Model
Export and upload the model to Tensor Art’s gallery or a private repository.
Provide sample images to showcase capabilities.
The outcome:
Link:
https://tensor.art/models/806563234615312507?source_id=nje1r1HmlkawovMoYHzy8hkn
Feel free to use this model in your art. Thank you in advanced.😁
Conclusion
By following these steps, you can efficiently design, train, and publish a custom Tensor Art model. This streamlined workflow ensures exceptional AI-generated imagery that brings your creative vision to life.
#christmas walkthrough
